code: def forward(self, x):
      MOE_MANAGER.reset_loss()
  
      x = self.test_embed(x)
      x = self.test_transform(x)
  
      return x
  
file_path: ColossalAI/tests/test_moe/moe_utils.py
imports: import torch
  import torch.distributed
  import torch.nn
  from colossalai.legacy.engine.gradient_handler._base_gradient_handler import BaseGradientHandler
  from colossalai.legacy.engine.gradient_handler.utils import bucket_allreduce
  from colossalai.legacy.registry import GRADIENT_HANDLER
  from colossalai.moe import SparseMLP
  from colossalai.moe.manager import MOE_MANAGER
  from colossalai.moe.utils import get_moe_epsize_param_dict
label_desc: Use image node_id 2 for calling the MoeModel obj's underlying member method code with example usage: obj.forward(x) and returns: x